SDM report
1 Dataset
The models are based on trawling data on the west coast
There are three data sources; IBTS, BITS and NATS
2 Trawl surveys
Information about the trawl surveys…
3 Catches
4 Abundansmodell (SDM)
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method smallspottedCatshark
------------------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : smallspottedCatshark
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 0.85 | 0.02 | 0.16 | -0.67
brt : 0.85 | 0.03 | 0.13 | -0.67
rf : 0.89 | 0.02 | 0.16 | -0.89
``` modelID species method replication replicationID success
1 1 smallspottedCatshark glm subsampling 1 TRUE
2 2 smallspottedCatshark glm subsampling 2 TRUE
3 3 smallspottedCatshark glm subsampling 3 TRUE
4 4 smallspottedCatshark glm subsampling 4 TRUE
5 5 smallspottedCatshark glm subsampling 5 TRUE
6 6 smallspottedCatshark brt subsampling 1 TRUE
7 7 smallspottedCatshark brt subsampling 2 TRUE
8 8 smallspottedCatshark brt subsampling 3 TRUE
9 9 smallspottedCatshark brt subsampling 4 TRUE
10 10 smallspottedCatshark brt subsampling 5 TRUE
11 11 smallspottedCatshark rf subsampling 1 TRUE
12 12 smallspottedCatshark rf subsampling 2 TRUE
13 13 smallspottedCatshark rf subsampling 3 TRUE
14 14 smallspottedCatshark rf subsampling 4 TRUE
15 15 smallspottedCatshark rf subsampling 5 TRUE
training test.dep test.indep
1 TRUE TRUE FALSE
2 TRUE TRUE FALSE
3 TRUE TRUE FALSE
4 TRUE TRUE FALSE
5 TRUE TRUE FALSE
6 TRUE TRUE FALSE
7 TRUE TRUE FALSE
8 TRUE TRUE FALSE
9 TRUE TRUE FALSE
10 TRUE TRUE FALSE
11 TRUE TRUE FALSE
12 TRUE TRUE FALSE
13 TRUE TRUE FALSE
14 TRUE TRUE FALSE
15 TRUE TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method smallspottedCatshark
------------------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : smallspottedCatshark
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 0.74 | 0 | 0.15 | -0.99
brt : 0.74 | 0.06 | 0.09 | -1.08
rf : 0.81 | 0.08 | 0.14 | -0.49
``` modelID species method replication replicationID success
1 1 smallspottedCatshark glm subsampling 1 TRUE
2 2 smallspottedCatshark glm subsampling 2 TRUE
3 3 smallspottedCatshark glm subsampling 3 TRUE
4 4 smallspottedCatshark glm subsampling 4 TRUE
5 5 smallspottedCatshark glm subsampling 5 TRUE
6 6 smallspottedCatshark brt subsampling 1 TRUE
7 7 smallspottedCatshark brt subsampling 2 TRUE
8 8 smallspottedCatshark brt subsampling 3 TRUE
9 9 smallspottedCatshark brt subsampling 4 TRUE
10 10 smallspottedCatshark brt subsampling 5 TRUE
11 11 smallspottedCatshark rf subsampling 1 TRUE
12 12 smallspottedCatshark rf subsampling 2 TRUE
13 13 smallspottedCatshark rf subsampling 3 TRUE
14 14 smallspottedCatshark rf subsampling 4 TRUE
15 15 smallspottedCatshark rf subsampling 5 TRUE
training test.dep test.indep
1 TRUE TRUE FALSE
2 TRUE TRUE FALSE
3 TRUE TRUE FALSE
4 TRUE TRUE FALSE
5 TRUE TRUE FALSE
6 TRUE TRUE FALSE
7 TRUE TRUE FALSE
8 TRUE TRUE FALSE
9 TRUE TRUE FALSE
10 TRUE TRUE FALSE
11 TRUE TRUE FALSE
12 TRUE TRUE FALSE
13 TRUE TRUE FALSE
14 TRUE TRUE FALSE
15 TRUE TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method smallspottedCatshark
------------------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : smallspottedCatshark
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 0.21 | 0 | 0.02 | -0.16
brt : 0.21 | -0.01 | 0.01 | -0.34
rf : 0.21 | -0.01 | 0.02 | NaN
``` modelID species method replication replicationID success
1 1 smallspottedCatshark glm subsampling 1 TRUE
2 2 smallspottedCatshark glm subsampling 2 TRUE
3 3 smallspottedCatshark glm subsampling 3 TRUE
4 4 smallspottedCatshark glm subsampling 4 TRUE
5 5 smallspottedCatshark glm subsampling 5 TRUE
6 6 smallspottedCatshark brt subsampling 1 TRUE
7 7 smallspottedCatshark brt subsampling 2 TRUE
8 8 smallspottedCatshark brt subsampling 3 TRUE
9 9 smallspottedCatshark brt subsampling 4 TRUE
10 10 smallspottedCatshark brt subsampling 5 TRUE
11 11 smallspottedCatshark rf subsampling 1 TRUE
12 12 smallspottedCatshark rf subsampling 2 TRUE
13 13 smallspottedCatshark rf subsampling 3 TRUE
14 14 smallspottedCatshark rf subsampling 4 TRUE
15 15 smallspottedCatshark rf subsampling 5 TRUE
training test.dep test.indep
1 TRUE TRUE FALSE
2 TRUE TRUE FALSE
3 TRUE TRUE FALSE
4 TRUE TRUE FALSE
5 TRUE TRUE FALSE
6 TRUE TRUE FALSE
7 TRUE TRUE FALSE
8 TRUE TRUE FALSE
9 TRUE TRUE FALSE
10 TRUE TRUE FALSE
11 TRUE TRUE FALSE
12 TRUE TRUE FALSE
13 TRUE TRUE FALSE
14 TRUE TRUE FALSE
15 TRUE TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method smallspottedCatshark
------------------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : smallspottedCatshark
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 0.18 | 0 | 0.03 | -0.18
brt : 0.17 | -0.02 | 0.01 | -0.36
rf : 0.19 | -0.01 | 0.03 | -0.08
``` modelID species method replication replicationID success
1 1 smallspottedCatshark glm subsampling 1 TRUE
2 2 smallspottedCatshark glm subsampling 2 TRUE
3 3 smallspottedCatshark glm subsampling 3 TRUE
4 4 smallspottedCatshark glm subsampling 4 TRUE
5 5 smallspottedCatshark glm subsampling 5 TRUE
6 6 smallspottedCatshark brt subsampling 1 TRUE
7 7 smallspottedCatshark brt subsampling 2 TRUE
8 8 smallspottedCatshark brt subsampling 3 TRUE
9 9 smallspottedCatshark brt subsampling 4 TRUE
10 10 smallspottedCatshark brt subsampling 5 TRUE
11 11 smallspottedCatshark rf subsampling 1 TRUE
12 12 smallspottedCatshark rf subsampling 2 TRUE
13 13 smallspottedCatshark rf subsampling 3 TRUE
14 14 smallspottedCatshark rf subsampling 4 TRUE
15 15 smallspottedCatshark rf subsampling 5 TRUE
training test.dep test.indep
1 TRUE TRUE FALSE
2 TRUE TRUE FALSE
3 TRUE TRUE FALSE
4 TRUE TRUE FALSE
5 TRUE TRUE FALSE
6 TRUE TRUE FALSE
7 TRUE TRUE FALSE
8 TRUE TRUE FALSE
9 TRUE TRUE FALSE
10 TRUE TRUE FALSE
11 TRUE TRUE FALSE
12 TRUE TRUE FALSE
13 TRUE TRUE FALSE
14 TRUE TRUE FALSE
15 TRUE TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method thornbackRay
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : thornbackRay
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 18.08 | 0.06 | 1.56 | -9.08
brt : 17.97 | 0.08 | 1.18 | -9.59
rf : 18.3 | 0.16 | 1.41 | -7.66
``` modelID species method replication replicationID success training
1 1 thornbackRay glm subsampling 1 TRUE TRUE
2 2 thornbackRay glm subsampling 2 TRUE TRUE
3 3 thornbackRay glm subsampling 3 TRUE TRUE
4 4 thornbackRay glm subsampling 4 TRUE TRUE
5 5 thornbackRay glm subsampling 5 TRUE TRUE
6 6 thornbackRay brt subsampling 1 TRUE TRUE
7 7 thornbackRay brt subsampling 2 TRUE TRUE
8 8 thornbackRay brt subsampling 3 TRUE TRUE
9 9 thornbackRay brt subsampling 4 TRUE TRUE
10 10 thornbackRay brt subsampling 5 TRUE TRUE
11 11 thornbackRay rf subsampling 1 TRUE TRUE
12 12 thornbackRay rf subsampling 2 TRUE TRUE
13 13 thornbackRay rf subsampling 3 TRUE TRUE
14 14 thornbackRay rf subsampling 4 TRUE TRUE
15 15 thornbackRay rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method thornbackRay
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : thornbackRay
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 15.79 | 0.14 | 1.68 | -14
brt : 15.27 | 0.08 | 1.15 | -14.57
rf : 16.36 | 0.16 | 1.58 | -9.01
``` modelID species method replication replicationID success training
1 1 thornbackRay glm subsampling 1 TRUE TRUE
2 2 thornbackRay glm subsampling 2 TRUE TRUE
3 3 thornbackRay glm subsampling 3 TRUE TRUE
4 4 thornbackRay glm subsampling 4 TRUE TRUE
5 5 thornbackRay glm subsampling 5 TRUE TRUE
6 6 thornbackRay brt subsampling 1 TRUE TRUE
7 7 thornbackRay brt subsampling 2 TRUE TRUE
8 8 thornbackRay brt subsampling 3 TRUE TRUE
9 9 thornbackRay brt subsampling 4 TRUE TRUE
10 10 thornbackRay brt subsampling 5 TRUE TRUE
11 11 thornbackRay rf subsampling 1 TRUE TRUE
12 12 thornbackRay rf subsampling 2 TRUE TRUE
13 13 thornbackRay rf subsampling 3 TRUE TRUE
14 14 thornbackRay rf subsampling 4 TRUE TRUE
15 15 thornbackRay rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method thornbackRay
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : thornbackRay
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 0.46 | 0 | 0.04 | -0.44
brt : 0.46 | 0.06 | 0.03 | -0.73
rf : 0.46 | 0.06 | 0.04 | NaN
``` modelID species method replication replicationID success training
1 1 thornbackRay glm subsampling 1 TRUE TRUE
2 2 thornbackRay glm subsampling 2 TRUE TRUE
3 3 thornbackRay glm subsampling 3 TRUE TRUE
4 4 thornbackRay glm subsampling 4 TRUE TRUE
5 5 thornbackRay glm subsampling 5 TRUE TRUE
6 6 thornbackRay brt subsampling 1 TRUE TRUE
7 7 thornbackRay brt subsampling 2 TRUE TRUE
8 8 thornbackRay brt subsampling 3 TRUE TRUE
9 9 thornbackRay brt subsampling 4 TRUE TRUE
10 10 thornbackRay brt subsampling 5 TRUE TRUE
11 11 thornbackRay rf subsampling 1 TRUE TRUE
12 12 thornbackRay rf subsampling 2 TRUE TRUE
13 13 thornbackRay rf subsampling 3 TRUE TRUE
14 14 thornbackRay rf subsampling 4 TRUE TRUE
15 15 thornbackRay rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method thornbackRay
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : thornbackRay
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 0.15 | -0.07 | 0.03 | -0.14
brt : 0.14 | 0.12 | 0.01 | -0.17
rf : 0.18 | 0.08 | 0.03 | -0.07
``` modelID species method replication replicationID success training
1 1 thornbackRay glm subsampling 1 TRUE TRUE
2 2 thornbackRay glm subsampling 2 TRUE TRUE
3 3 thornbackRay glm subsampling 3 TRUE TRUE
4 4 thornbackRay glm subsampling 4 TRUE TRUE
5 5 thornbackRay glm subsampling 5 TRUE TRUE
6 6 thornbackRay brt subsampling 1 TRUE TRUE
7 7 thornbackRay brt subsampling 2 TRUE TRUE
8 8 thornbackRay brt subsampling 3 TRUE TRUE
9 9 thornbackRay brt subsampling 4 TRUE TRUE
10 10 thornbackRay brt subsampling 5 TRUE TRUE
11 11 thornbackRay rf subsampling 1 TRUE TRUE
12 12 thornbackRay rf subsampling 2 TRUE TRUE
13 13 thornbackRay rf subsampling 3 TRUE TRUE
14 14 thornbackRay rf subsampling 4 TRUE TRUE
15 15 thornbackRay rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method spinyDogfish
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : spinyDogfish
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 73.31 | 0.07 | 10.42 | -42.25
brt : 72.17 | 0.09 | 9.41 | -46.78
rf : 73.49 | 0.08 | 9.98 | -42.3
``` modelID species method replication replicationID success training
1 1 spinyDogfish glm subsampling 1 TRUE TRUE
2 2 spinyDogfish glm subsampling 2 TRUE TRUE
3 3 spinyDogfish glm subsampling 3 TRUE TRUE
4 4 spinyDogfish glm subsampling 4 TRUE TRUE
5 5 spinyDogfish glm subsampling 5 TRUE TRUE
6 6 spinyDogfish brt subsampling 1 TRUE TRUE
7 7 spinyDogfish brt subsampling 2 TRUE TRUE
8 8 spinyDogfish brt subsampling 3 TRUE TRUE
9 9 spinyDogfish brt subsampling 4 TRUE TRUE
10 10 spinyDogfish brt subsampling 5 TRUE TRUE
11 11 spinyDogfish rf subsampling 1 TRUE TRUE
12 12 spinyDogfish rf subsampling 2 TRUE TRUE
13 13 spinyDogfish rf subsampling 3 TRUE TRUE
14 14 spinyDogfish rf subsampling 4 TRUE TRUE
15 15 spinyDogfish rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method spinyDogfish
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : spinyDogfish
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 5.45 | 0.18 | 1.03 | -3.67
brt : 5.49 | 0.1 | 0.82 | -5.24
rf : 5.5 | 0.15 | 1 | -5.04
``` modelID species method replication replicationID success training
1 1 spinyDogfish glm subsampling 1 TRUE TRUE
2 2 spinyDogfish glm subsampling 2 TRUE TRUE
3 3 spinyDogfish glm subsampling 3 TRUE TRUE
4 4 spinyDogfish glm subsampling 4 TRUE TRUE
5 5 spinyDogfish glm subsampling 5 TRUE TRUE
6 6 spinyDogfish brt subsampling 1 TRUE TRUE
7 7 spinyDogfish brt subsampling 2 TRUE TRUE
8 8 spinyDogfish brt subsampling 3 TRUE TRUE
9 9 spinyDogfish brt subsampling 4 TRUE TRUE
10 10 spinyDogfish brt subsampling 5 TRUE TRUE
11 11 spinyDogfish rf subsampling 1 TRUE TRUE
12 12 spinyDogfish rf subsampling 2 TRUE TRUE
13 13 spinyDogfish rf subsampling 3 TRUE TRUE
14 14 spinyDogfish rf subsampling 4 TRUE TRUE
15 15 spinyDogfish rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method spinyDogfish
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : spinyDogfish
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 19.41 | 0.09 | 2.76 | -14.83
brt : 19.25 | 0.06 | 2.22 | -16.25
rf : 20 | 0.13 | 2.68 | -8.67
``` modelID species method replication replicationID success training
1 1 spinyDogfish glm subsampling 1 TRUE TRUE
2 2 spinyDogfish glm subsampling 2 TRUE TRUE
3 3 spinyDogfish glm subsampling 3 TRUE TRUE
4 4 spinyDogfish glm subsampling 4 TRUE TRUE
5 5 spinyDogfish glm subsampling 5 TRUE TRUE
6 6 spinyDogfish brt subsampling 1 TRUE TRUE
7 7 spinyDogfish brt subsampling 2 TRUE TRUE
8 8 spinyDogfish brt subsampling 3 TRUE TRUE
9 9 spinyDogfish brt subsampling 4 TRUE TRUE
10 10 spinyDogfish brt subsampling 5 TRUE TRUE
11 11 spinyDogfish rf subsampling 1 TRUE TRUE
12 12 spinyDogfish rf subsampling 2 TRUE TRUE
13 13 spinyDogfish rf subsampling 3 TRUE TRUE
14 14 spinyDogfish rf subsampling 4 TRUE TRUE
15 15 spinyDogfish rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method spinyDogfish
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : spinyDogfish
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 1.52 | -0.03 | 0.24 | -1.48
brt : 1.26 | 0 | 0.13 | -2.27
rf : 1.32 | 0 | 0.21 | -5.73
``` modelID species method replication replicationID success training
1 1 spinyDogfish glm subsampling 1 TRUE TRUE
2 2 spinyDogfish glm subsampling 2 TRUE TRUE
3 3 spinyDogfish glm subsampling 3 TRUE TRUE
4 4 spinyDogfish glm subsampling 4 TRUE TRUE
5 5 spinyDogfish glm subsampling 5 TRUE TRUE
6 6 spinyDogfish brt subsampling 1 TRUE TRUE
7 7 spinyDogfish brt subsampling 2 TRUE TRUE
8 8 spinyDogfish brt subsampling 3 TRUE TRUE
9 9 spinyDogfish brt subsampling 4 TRUE TRUE
10 10 spinyDogfish brt subsampling 5 TRUE TRUE
11 11 spinyDogfish rf subsampling 1 TRUE TRUE
12 12 spinyDogfish rf subsampling 2 TRUE TRUE
13 13 spinyDogfish rf subsampling 3 TRUE TRUE
14 14 spinyDogfish rf subsampling 4 TRUE TRUE
15 15 spinyDogfish rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method ThornySkate
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : ThornySkate
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 15.72 | 0.5 | 4 | -9.35
brt : 15.5 | 0.68 | 3.92 | -10.13
rf : 11.75 | 0.73 | 2.88 | -5.02
``` modelID species method replication replicationID success training
1 1 ThornySkate glm subsampling 1 TRUE TRUE
2 2 ThornySkate glm subsampling 2 TRUE TRUE
3 3 ThornySkate glm subsampling 3 TRUE TRUE
4 4 ThornySkate glm subsampling 4 TRUE TRUE
5 5 ThornySkate glm subsampling 5 TRUE TRUE
6 6 ThornySkate brt subsampling 1 TRUE TRUE
7 7 ThornySkate brt subsampling 2 TRUE TRUE
8 8 ThornySkate brt subsampling 3 TRUE TRUE
9 9 ThornySkate brt subsampling 4 TRUE TRUE
10 10 ThornySkate brt subsampling 5 TRUE TRUE
11 11 ThornySkate rf subsampling 1 TRUE TRUE
12 12 ThornySkate rf subsampling 2 TRUE TRUE
13 13 ThornySkate rf subsampling 3 TRUE TRUE
14 14 ThornySkate rf subsampling 4 TRUE TRUE
15 15 ThornySkate rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method ThornySkate
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : ThornySkate
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 11.36 | 0.3 | 3.29 | -10.11
brt : 11.17 | 0.52 | 2.84 | -8.91
rf : 10.81 | 0.51 | 2.7 | -6.26
``` modelID species method replication replicationID success training
1 1 ThornySkate glm subsampling 1 TRUE TRUE
2 2 ThornySkate glm subsampling 2 TRUE TRUE
3 3 ThornySkate glm subsampling 3 TRUE TRUE
4 4 ThornySkate glm subsampling 4 TRUE TRUE
5 5 ThornySkate glm subsampling 5 TRUE TRUE
6 6 ThornySkate brt subsampling 1 TRUE TRUE
7 7 ThornySkate brt subsampling 2 TRUE TRUE
8 8 ThornySkate brt subsampling 3 TRUE TRUE
9 9 ThornySkate brt subsampling 4 TRUE TRUE
10 10 ThornySkate brt subsampling 5 TRUE TRUE
11 11 ThornySkate rf subsampling 1 TRUE TRUE
12 12 ThornySkate rf subsampling 2 TRUE TRUE
13 13 ThornySkate rf subsampling 3 TRUE TRUE
14 14 ThornySkate rf subsampling 4 TRUE TRUE
15 15 ThornySkate rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method ThornySkate
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : ThornySkate
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 13.91 | 0.28 | 4.45 | -13.42
brt : 13.65 | 0.42 | 4 | -11.27
rf : 11.91 | 0.57 | 3.48 | -7.21
``` modelID species method replication replicationID success training
1 1 ThornySkate glm subsampling 1 TRUE TRUE
2 2 ThornySkate glm subsampling 2 TRUE TRUE
3 3 ThornySkate glm subsampling 3 TRUE TRUE
4 4 ThornySkate glm subsampling 4 TRUE TRUE
5 5 ThornySkate glm subsampling 5 TRUE TRUE
6 6 ThornySkate brt subsampling 1 TRUE TRUE
7 7 ThornySkate brt subsampling 2 TRUE TRUE
8 8 ThornySkate brt subsampling 3 TRUE TRUE
9 9 ThornySkate brt subsampling 4 TRUE TRUE
10 10 ThornySkate brt subsampling 5 TRUE TRUE
11 11 ThornySkate rf subsampling 1 TRUE TRUE
12 12 ThornySkate rf subsampling 2 TRUE TRUE
13 13 ThornySkate rf subsampling 3 TRUE TRUE
14 14 ThornySkate rf subsampling 4 TRUE TRUE
15 15 ThornySkate rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
class : sdmModels
========================================================
number of species : 1
number of modelling methods : 3
names of modelling methods : glm, brt, rf
replicate.methods (data partitioning) : subsampling
number of replicates (each method) : 5
toral number of replicates per model : 5 (per species)
test percentage (in subsampling) : 25
------------------------------------------
model run success percentage (per species) :
------------------------------------------
method ThornySkate
----------------------
glm : 100 %
brt : 100 %
rf : 100 %
###################################################################
model Mean performance (per species), using test dataset (generated using partitioning):
-------------------------------------------------------------------------------
## species : ThornySkate
=========================
methods : RMSE | COR | MAE | Deviance
-------------------------------------------------------------------------
glm : 9.31 | 0.42 | 4.06 | -9.52
brt : 9.05 | 0.63 | 3.6 | -7.9
rf : 7.91 | 0.64 | 3.26 | -6.46
``` modelID species method replication replicationID success training
1 1 ThornySkate glm subsampling 1 TRUE TRUE
2 2 ThornySkate glm subsampling 2 TRUE TRUE
3 3 ThornySkate glm subsampling 3 TRUE TRUE
4 4 ThornySkate glm subsampling 4 TRUE TRUE
5 5 ThornySkate glm subsampling 5 TRUE TRUE
6 6 ThornySkate brt subsampling 1 TRUE TRUE
7 7 ThornySkate brt subsampling 2 TRUE TRUE
8 8 ThornySkate brt subsampling 3 TRUE TRUE
9 9 ThornySkate brt subsampling 4 TRUE TRUE
10 10 ThornySkate brt subsampling 5 TRUE TRUE
11 11 ThornySkate rf subsampling 1 TRUE TRUE
12 12 ThornySkate rf subsampling 2 TRUE TRUE
13 13 ThornySkate rf subsampling 3 TRUE TRUE
14 14 ThornySkate rf subsampling 4 TRUE TRUE
15 15 ThornySkate rf subsampling 5 TRUE TRUE
test.dep test.indep
1 TRUE FALSE
2 TRUE FALSE
3 TRUE FALSE
4 TRUE FALSE
5 TRUE FALSE
6 TRUE FALSE
7 TRUE FALSE
8 TRUE FALSE
9 TRUE FALSE
10 TRUE FALSE
11 TRUE FALSE
12 TRUE FALSE
13 TRUE FALSE
14 TRUE FALSE
15 TRUE FALSE
